Decoding the reproductive microbiome: enabling clinical and biological insights through machine and deep learning.
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| Title: | Decoding the reproductive microbiome: enabling clinical and biological insights through machine and deep learning. |
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| Authors: | Garach Vélez I; Department of Computer Engineering, Automatics and Robotics, CITIC, University of Granada, Granada, Spain., Leonés-Baños I; Department of Biochemistry and Molecular Biology, Faculty of Sciences, University of Granada, Granada, Spain.; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain., Folch BA; Department of Biochemistry and Molecular Biology, Faculty of Sciences, University of Granada, Granada, Spain.; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain., Antequera L; Department of Computer Engineering, Automatics and Robotics, CITIC, University of Granada, Granada, Spain., Rojas I; Department of Computer Engineering, Automatics and Robotics, CITIC, University of Granada, Granada, Spain., Ortuño F; Department of Computer Engineering, Automatics and Robotics, CITIC, University of Granada, Granada, Spain., Lara MJS; Department of Biochemistry and Molecular Biology, Faculty of Sciences, University of Granada, Granada, Spain.; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain., Altmäe S; Division of Obstetrics and Gynecology, Department of Clinical Science, Intervention and Technology CLINTEC, Karolinska Institutet, Stockholm, Sweden.; Department of Gynecology and Reproductive Medicine, Karolinska University Hospital, Huddinge, Stockholm, Sweden.; Department of Biochemistry and Molecular Biology, Faculty of Sciences, University of Granada, Granada, Spain.; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain., Herrera LJ; Department of Computer Engineering, Automatics and Robotics, CITIC, University of Granada, Granada, Spain.; Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain. |
| Source: | Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2026 Jun 15; Vol. 17, pp. 1812407. Date of Electronic Publication: 2026 Jun 15 (Print Publication: 2026). |
| Publication Type: | Journal Article; Review; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-2392 |
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| DOI: | 10.3389/fendo.2026.1812407 |
